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Abstract:

The new scientific landscape requires fuller and wider access to scientific infor­mation and research data as an important means to accelerate innovation and im­prove transparency of the scientific process. In this emerging environment, the new publication model of data journals will play a key role by establishing high standards for dataset publication and promoting the deserved credit and recognition to au­thors. Biomedical Data Journal (BMDJ) is an open access journal aiming to facilitate the presentation, validation, use, and re-use of datasets with focus on publishing biomedical datasets that can serve as a source for simulation and computational modelling of diseases and biological processes. The rise of computational science could lead to exciting developments in the field of biomedical research. BMDJ has the ambition to pave the way in this direction through meeting the existing need for high-quality, well structured, open-access, biomedical datasets. BMDJ has estab­lished a new approach that includes a number of initiatives to potentiate the use of data papers as a source of new scientific creation, to maximize reach and visibility of data publications and to introduce formal citation of data papers. Sufficient motiva­tion for researchers to release high quality experimental biomedical data goes through providing the respective credit and recognition to authors of data papers.